Education & Training
AI Training Content Generator for Logistics
Turns source material into structured lessons, adapted for Logistics businesses that need to train warehouse staff and drivers on procedures and safety.
Education & Training
AI Student Support Agent
Registration, enrollment and logistics questions handled directly, with approvals routed to the right staff member.
Every term brings the same wave of questions: am I registered, can I switch course, can I have an extension. AI Student Support Agent answers them from your approved information and acts on routine requests inside the rules you set, updating your systems as it goes. Anything that needs a decision goes to the right staff member, so your team handles exceptions, not repeats.
- Admissions and enrollment questions answered from your own information
- Routine requests handled inside your approval rules
- Exceptions routed to the right staff member with context
$8,300
20–30 working days
Optional maintenance $415/mo
What it is
AI Student Support Agent handles a student's administrative and logistical questions, such as registration status, enrollment changes and deadline extensions, acting inside the rules you set rather than answering course-content questions. It answers from your approved information, updates your systems where your rules allow and passes anything outside them to the right staff member.
Why businesses buy it
Student services teams spend the busiest weeks of each term answering the same questions by email and phone, while the cases that really need a person wait in the queue. Slow replies frustrate applicants and can cost you enrollments. This build handles the routine requests directly and within your rules, and hands the rest to staff with the details already captured. The Scope Card lists the channel, systems and workflows in writing before you order, so you know exactly what it can change and what it must pass on.
Problems this solves
Staff answer the same registration questions every term
The agent handles students' administrative questions, such as registration status and enrollment changes. It answers from your approved information through one agreed channel. Students get a quick reply at any hour, even outside office time.
Simple enrollment changes wait days in a staff queue
Where your rules allow, the agent updates your systems directly, with read and write access to up to two systems. Up to six workflows cover your common requests.
Extension requests arrive in many places and get lost
Deadline extension requests are handled inside the rules you set. Anything outside them is passed to the right staff member rather than decided by the agent.
Students ask admin staff about course content they cannot answer
The agent stays on administrative and logistical questions, not course content. Requests it should not handle go to the right person, so students reach help that fits.
A good fit if
Staff spend time each week on registration status checks, enrollment changes or deadline questions that follow a consistent set of rules.
You have a playbook for what the agent can act on directly and what needs a person's approval, refund limits, extension criteria, waitlist rules.
You can give read and write access to your student information system or registrar tools, with sandbox or test records if available.
You want actions logged and anything past your approval limits routed to the staff member you name.
Not the right fit if
Most questions are about course content itself, not administration. See AI Learning Assistant, for content-focused Q&A.
You are managing staff training rather than student administration. See AI Corporate Training Agent.
You need more than six workflows or more than two connected systems with write access. Add a note at checkout for a Change Quote, or start from our Custom AI enquiry form.
Your question belongs to one specific course's schedule rather than institution-wide administration. See AI Course Assistant.
How it works
- Your playbook, registration rules, refund and extension policy, waitlist criteria, is captured along with 10 real sample conversations or emails from past requests.
- A student asks a question or requests an action through the channel you chose, a registration status check, an enrollment change, a deadline extension request.
- The agent checks the request against your rules and, where it is within the approval limits you set, acts directly, up to six workflows covering the requests you defined.
- Anything outside those limits, an exception request, an unusual circumstance, is routed to the staff member you named with the request and context attached.
- 50 documented test scenarios are run against real cases before anything goes live, covering both routine and exception paths.
- Every action and handoff is logged and written back to the connected system, up to two systems with read and write access.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Admin or API access to your student information system or registrar tools, sandbox or test records if available.
- Your playbook: registration rules, refund and extension policy, waitlist criteria and approval thresholds.
- 10 real sample conversations or emails from past student requests.
- The name of the staff member who approves requests outside the agreed limits.
- Your institution's policy documents, up to 100 documents.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One person on your side who can approve decisions during the build.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, playbook and approval rules agreed.
Weeks 1–2
Request-handling workflows configured.
Week 3
Student information system connected with read and write access.
Weeks 3–4
50 documented test scenarios run against real cases.
Week 4
Your review and two rounds of changes.
Go-live
Live, handover report sent, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $8,300 |
| Express | 15–25 working days | $9,550 |
| Rush | 10–20 working days | $10,800 |
What you receive at handover
- The AI Student Support Agent, configured and deployed in one channel
- Up to six workflows with your approval rules, such as enrollment changes and extensions
- Connections to up to two systems with read and write access
- Your approved information loaded, up to 100 documents
- A test report covering 50 documented scenarios, plus an admin guide and written handover report
- 30 days of post-launch support
Expected benefits and how to measure them
- Can free admin staff from repeat questions at peak times
- Helps students get routine answers without waiting for office hours
- Makes it easier to apply extension rules consistently
- Admin queries handled by the agent
- Count resolved and escalated queries in the agent's log each month after launch.
- Time to resolve an enrollment change
- Compare request and completion times from your systems for the term before launch with the term after.
- Staff inbox volume at term start
- Count emails to the student admin inbox in the first weeks of term, before and after launch.
Before you start: Count admin emails and enrollment requests in the first weeks of last term, and note how long changes took.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running it is billed in your own accounts, mostly AI model usage and hosting, plus whatever you already pay for your student information system: roughly $50 to $250 a month.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
For AI Student Support Agent, monthly maintenance covers monitoring, fixes and change hours each month, enough for a new term's policy update. It starts after the thirty days of support, bills monthly, and can be cancelled any month.
$415/mo (5% of the build price a month, includes 4 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A generic student-portal chatbot charges a monthly platform fee | A student-services consultancy quotes after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Scope | A generic chatbot answers from whatever content it can find, not your rules | An agency agrees scope during the project | Ours is written on the Scope Card before purchase |
| Actions | Most portal chatbots point students to a form rather than acting | An agency build depends on what was agreed | Ours acts directly within your approval limits, and escalates the rest |
| Delivery | A generic chatbot is live the day you subscribe, untrained on your rules | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
How much does AI Student Support Agent cost?
The build is a one-time fixed price, shown in the price panel on this page next to each delivery speed. It covers one channel, up to six workflows with your approval rules, read and write connections to two systems, your knowledge documents, scenario testing and the review rounds on the Scope Card. We charge nothing per student request afterwards; AI usage and hosting run in your own accounts.
How long until AI Student Support Agent is live?
The delivery time is fixed before you buy and shown in the delivery panel on this page, with faster options where offered. It starts once your policies, term dates and access to your student systems are in. Most of the build goes into the workflows and their approval rules, then testing them against realistic cases such as late enrollment and extension requests before your review rounds.
Which systems does AI Student Support Agent connect to?
It commonly connects to a student information system or registrar tool, reading enrollment and registration status and writing approved changes back, up to two systems with read and write access. Tell us your specific system during intake, most platforms with an API or a documented integration path, including many built on top of an LMS such as Canvas or Moodle, can be connected.
What happens when a student request falls outside AI Student Support Agent's rules?
It is routed to the staff member you named, with the full request and context attached, rather than guessed at or refused outright. Nothing about an exception, a refund past the limit, an unusual extension request, is decided without a rule you set in advance, and every escalation is logged for later review.
What is the difference between AI Student Support Agent and AI Learning Assistant?
AI Student Support Agent handles administrative requests, registration, enrollment changes, deadlines, and can act on them within your rules. AI Learning Assistant instead answers questions about course content itself and cannot change a student's record. Institutions needing both often run them side by side on different channels.
What does AI Student Support Agent cost to run each month?
Running costs are separate from the build price and paid directly to your own providers, typically $50 to $250 a month for AI model usage and hosting, plus whatever you already pay for your student information system. Monthly maintenance is optional.
Can we update AI Student Support Agent's rules for a new term?
Yes. Two rounds of changes are included in the build, so most rule adjustments happen before launch based on the 50 test scenarios. After that, updates for a new term's policy or a revised approval limit fit inside the monthly change hours that come with maintenance, and a seventh workflow comes as a quoted add-on.
Who owns the student data AI Student Support Agent works with?
You do. Every request, playbook and action log stays under your own student information system throughout the build and afterwards, and we never hold a separate copy. We configure and test the workflows, hand over an admin guide and written handover report, then step away at launch, apart from the 30 days of included support.
Stop routing every registration email to a person.
Order AI Student Support Agent and it starts handling registration and logistics requests on a fixed delivery date. The scope above is what you get, in writing, before you pay.
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